G. Cocho
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 10
- Developmental Biology top 10%
- Mathematical Physics top 10%
- Aging top 10%
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- Quantum Chromodynamics and Particle Interactions 15
- Particle physics theoretical and experimental studies 11
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- Protein Structure and Dynamics 10
- RNA and protein synthesis mechanisms 10
- Gene Regulatory Network Analysis 9
- Fractal and DNA sequence analysis 7
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- Complex Systems and Time Series Analysis 10
G. Cocho
90 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 154
- Modeling and Simulation 134
- Statistical and Nonlinear Physics 323
- Developmental Biology 30
- Mathematical Physics 108
- Aging 19
Countries citing papers authored by G. Cocho
This map shows the geographic impact of G. Cocho's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Cocho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Cocho more than expected).
Fields of papers citing papers by G. Cocho
This network shows the impact of papers produced by G. Cocho. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Cocho. The network helps show where G. Cocho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Cocho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 3 | |
| 2 | 2019 | 4 | |
| 3 | 2018 | 3 | |
| 4 | 2018 | 1 | |
| 5 | 2017 | 8 | |
| 6 | 2017 | 4 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 9 | |
| 9 | Team Formation and Selection of Strategies for Computer Simulations of Baseball Gaming | 2016 | 1 |
| 10 | 2016 | 14 | |
| 11 | 2016 | 4 | |
| 12 | 2014 | 6 | |
| 13 | La ciencia y sus demonios | 2009 | 1 |
| 14 | 2005 | 6 | |
| 15 | 2002 | 12 | |
| 16 | 1999 | 6 | |
| 17 | MULTISCALING IN EXPANSION-MODIFICATION SYSTEMS: AN EXPLANATION FOR LONG RANGE CORRELATION IN DNA. | 1998 | 5 |
| 18 | 1998 | 11 | |
| 19 | 1995 | 8 | |
| 20 | 1987 | 21 |
About G. Cocho
G. Cocho is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Nuclear and High Energy Physics, Condensed Matter Physics and Virology, having authored 94 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (15 papers), Particle physics theoretical and experimental studies (11 papers), Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (10 papers), Mathematical Biology Tumor Growth (10 papers), Complex Systems and Time Series Analysis (10 papers), Gene Regulatory Network Analysis (9 papers) and Fractal and DNA sequence analysis (7 papers). The work is most often cited by research in Modeling and Simulation (134 citations), Statistical and Nonlinear Physics (323 citations), Developmental Biology (30 citations), Mathematical Physics (108 citations) and Aging (19 citations). G. Cocho has collaborated with scholars based in Mexico, Italy and Cuba. Frequent co-authors include Gabriel Ramos‐Fernández, Octavio Miramontes, Bárbara Ayala‐Orozco, Pedro Miramóntes, Ricardo Mansilla, José L. Mateos, Denis Boyer, Gerardo G. Naumis, Gustavo Martı́nez-Mekler and Hernán Larralde. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Theoretical Biology, PLoS ONE, Nuclear Physics A and Physical Review Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.